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07/21/2023
Poverty rate prediction using multi-modal survey and earth observation data
This work presents an approach for combining household demographic and l...
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06/21/2023
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event
Rapid and accurate building damage assessments from high-resolution sate...
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05/22/2023
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
Research in self-supervised learning (SSL) with natural images has progr...
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11/16/2022
Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery
Vulnerability and risk assessment of neighborhoods is essential for effe...
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06/10/2022
Fast building segmentation from satellite imagery and few local labels
Innovations in computer vision algorithms for satellite image analysis c...
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07/28/2021
Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases
Purpose: To demonstrate that retinal microvasculature per se is a reliab...
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06/15/2021
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
Diferentially private (DP) synthetic datasets are a powerful approach fo...
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06/03/2021
Defending Democracy: Using Deep Learning to Identify and Prevent Misinformation
The rise in online misinformation in recent years threatens democracies ...
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05/04/2021
Height Estimation of Children under Five Years using Depth Images
Malnutrition is a global health crisis and is the leading cause of death...
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04/23/2021
Becoming Good at AI for Good
AI for good (AI4G) projects involve developing and applying artificial i...
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03/24/2021
U.S. Broadband Coverage Data Set: A Differentially Private Data Release
Broadband connectivity is a key metric in today's economy. In an era of ...
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10/05/2020
Metadata-Based Detection of Child Sexual Abuse Material
In the last decade, the scale of creation and distribution of child sexu...
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10/04/2020